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An entropy-based approach for assessing the directional persistence of cell migration.
Liu, Yanping; Jiao, Yang; Li, Xinwei; Li, Guoqiang; Wang, Wei; Liu, Zhichao; Qin, Dui; Zhong, Lisha; Liu, Liyu; Shuai, Jianwei; Li, Zhangyong.
Afiliação
  • Liu Y; Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China; Department of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
  • Jiao Y; Materials Science and Engineering, Arizona State University, Tempe, Arizona; Department of Physics, Arizona State University, Tempe, Arizona.
  • Li X; Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China; Department of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
  • Li G; Chongqing Key Laboratory of Environmental Materials and Remediation Technologies, College of Chemistry and Environmental Engineering, Chongqing University of Arts and Sciences, Chongqing, China.
  • Wang W; Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China; Department of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
  • Liu Z; Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China; Department of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
  • Qin D; Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China; Department of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China.
  • Zhong L; School of Medical Information and Engineering, Southwest Medical University, Luzhou, China.
  • Liu L; Chongqing Key Laboratory of Soft Condensed Matter Physics and Smart Materials, College of Physics, Chongqing University, Chongqing, China.
  • Shuai J; Department of Physics, Xiamen University, Xiamen, China; Fujian Provincial Key Laboratory for Soft Functional Materials Research, Xiamen University, Xiamen, China; Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, China. Electronic address: jianweishuai@xmu.edu.cn.
  • Li Z; Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China; Department of Biomedical Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China. Electronic address: lizy@cqupt.edu.cn.
Biophys J ; 123(6): 730-744, 2024 Mar 19.
Article em En | MEDLINE | ID: mdl-38366586
ABSTRACT
Cell migration, which is primarily characterized by directional persistence, is essential for the development of normal tissues and organs, as well as for numerous pathological processes. However, there is a lack of simple and efficient tools to analyze the systematic properties of persistence based on cellular trajectory data. Here, we present a novel approach, the entropy of angular distribution , which combines cellular turning dynamics and Shannon entropy to explore the statistical and time-varying properties of persistence that strongly correlate with cellular migration modes. Our results reveal the changes in the persistence of multiple cell lines that are tightly regulated by both intra- and extracellular cues, including Arpin protein, collagen gel/substrate, and physical constraints. Significantly, some previously unreported distinctive details of persistence have also been captured, helping to elucidate how directional persistence is distributed and evolves in different cell populations. The analysis suggests that the entropy of angular distribution-based approach provides a powerful metric for evaluating directional persistence and enables us to better understand the relationships between cellular behaviors and multiscale cues, which also provides some insights into the migration dynamics of cell populations, such as collective cell invasion.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Colágeno Idioma: En Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Colágeno Idioma: En Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China